Debiasing the Minimum-Mass Extrasolar Nebula: On the Diversity of Solid Disk Profiles
Abstract
A foundational idea in the theory of in situ planet formation is the "minimum mass extrasolar nebula" (MMEN), a surface density profile () of disk solids that is necessary to form the planets in their present locations. While most previous studies have fit a single power-law to all exoplanets in an observed ensemble, it is unclear whether most exoplanetary systems form from a universal disk template. We use an advanced statistical model for the underlying architectures of multi-planet systems to reconstruct the MMEN. The simulated physical and Kepler-observed catalogs allows us to directly assess the role of detection biases, and in particular the effect of non-transiting or otherwise undetected planets, in altering the inferred MMEN. We find that fitting a power-law of the form to each multi-planet system results in a broad distribution of disk profiles; g/cm and encompass the 16th-84th percentiles of the marginal distributions in an underlying population, where is the normalization at AU. Around half of inner planet-forming disks have minimum solid masses of within 1 AU. While transit observations do not tend to bias the median , they can lead to both significantly over- and under-estimated and thus broaden the inferred distribution of disk masses. Nevertheless, detection biases cannot account for the full variance in the observed disk profiles; there is no universal MMEN if all planets formed in situ. The great diversity of solid disk profiles suggests that a substantial fraction () of planetary systems experienced a history of migration.
Keywords
Cite
@article{arxiv.2208.09031,
title = {Debiasing the Minimum-Mass Extrasolar Nebula: On the Diversity of Solid Disk Profiles},
author = {Matthias Y. He and Eric B. Ford},
journal= {arXiv preprint arXiv:2208.09031},
year = {2022}
}
Comments
Accepted to AJ. 14 pages, 6 figures, 1 table. Accompanying code is available via SysSimPyMMEN, a pip-installable Python package (see https://syssimpymmen.readthedocs.io/en/latest/)